Image Gen · Model Guide · 4 min read
Stable Diffusion XL
The veteran that still earns its slot — SDXL runs on 8 GB cards and anchors the largest fine-tune ecosystem in image generation.

| Developer | Stability AI |
|---|---|
| Availability | Open weights |
| Commercial license | Stability AI Community License — same structure as SD 3.5: free for individuals and businesses under $1M annual revenue with a prohibited-use list, paid enterprise license above. Outputs are usable commercially under the community license. |
Basic Information
Stable Diffusion XL remains the most widely installed image model in history. It is older than the 3.5/FLUX generation, but two facts keep it everywhere: it runs on ~8 GB cards at real-time-ish speeds, and its four-plus years of community fine-tunes, LoRAs, and ControlNets mean there is a pre-built model for nearly any style, subject, or pipeline.
For anyone building controlled local pipelines — product photography styles, consistent characters, batch thumbnail generation — SDXL's tooling depth is often still the pragmatic choice.
Best use cases
- Budget local image generation on 6–8 GB cards
- Style-specific production via the massive LoRA/fine-tune library
- Precise composition control with ControlNet (pose, depth, edges)
- High-throughput batch generation on modest hardware
Computational Requirements
The most accessible of the quality models: roughly 6–8 GB VRAM for standard 1024px generation, lower with optimized builds.
| Configuration | Memory |
|---|---|
| Typical FP16 usage | ~7 GB (UNet + encoders + VAE) |
| Comfortable target | 6–8 GB cards |
Commercial license
Stability AI Community License — same structure as SD 3.5: free for individuals and businesses under $1M annual revenue with a prohibited-use list, paid enterprise license above. Outputs are usable commercially under the community license.
Compare the cost of using it
Curious how a hosted model’s bills add up against local hardware? The Local vs Cloud panel does the math for your workload.
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